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Updated: Jun 16, 2026

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
Published on: May 2, 2025
Modelling waste stabilisation ponds with an extended version of ASM3
1Institute of Environmental Engineering, Ruhr-Universität Bochum, 44780 Bochum, Germany. siwawi@rub.de
This study enhances the Activated Sludge Model No 3 (ASM3) to simulate waste stabilization ponds (WSP), successfully modeling ammonia removal and algae growth in a pilot leachate treatment system.
Area of Science:
- Environmental Engineering
- Water Treatment Technologies
- Biogeochemical Modeling
Background:
- Activated Sludge Model No 3 (ASM3) is a widely used model for wastewater treatment.
- Waste stabilization ponds (WSP) are effective and low-cost systems for treating various wastewaters.
- Accurate simulation of WSP processes, including algae dynamics and gas transfer, is crucial for optimizing their performance.
Purpose of the Study:
- To extend the ASM3 model for simulating processes within waste stabilization ponds (WSP).
- To integrate algae biomass, gas transfer (O2, CO2, NH3), and ionic equilibrium into the model.
- To validate the enhanced model using data from a pilot-scale WSP treating landfill leachate.
Main Methods:
- Extended the IWA's Activated Sludge Model No 3 (ASM3) by incorporating algae biomass and gas transfer modules.
- Included dependencies on wind velocity for gas transfer and simple ionic equilibrium.
- Applied the modified model to a pilot-scale WSP system in Florianópolis, Brazil, treating municipal waste leachate.
- Utilized measured influent and operational data for model calibration and validation.
Main Results:
- The enhanced model accurately simulated pH and ammonia removal in the pilot WSP system.
- Achieved high ammonia nitrogen removal (89.5%) with significant ammonia stripping observed.
- Modeled algae concentrations based on chlorophyll a, light intensity, and total suspended solids (TSS).
- Quantified oxygen input influenced by wind velocity (11.1–14.4 g(O2)/(m(2) d)) and ammonia stripping rates (18.2 and 4.5 g(N)/(m(2) d)).
Conclusions:
- The extended ASM3 provides a robust tool for simulating WSP performance, particularly for leachate treatment.
- Ammonia stripping is a significant removal pathway in WSP, influenced by environmental factors like wind velocity.
- The model successfully captures the interplay between physical, chemical, and biological processes in WSP, including algae dynamics.
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